Supercharge your test automation with Playwright, MCP, and GitHub Copilot

Discover how Playwright, GitHub Copilot, and Model Context Protocol (MCP) can work together to supercharge your testing workflow and support a more intelligent, connected approach to test automation.

This tech talk moves beyond theory, presenting data-backed results from TTC Global’s AI-first agentic workflow. See how this powerful trio supports the full automation lifecycle, from understanding requirements and exploring the application using Playwright’s tooling, through to generating, debugging, and refining automated tests. Learn how GitHub Copilot supports AI-assisted implementation, while MCP connects the broader delivery ecosystem, including Azure DevOps context, work items, and traceability. Together, these capabilities help teams improve delivery flow, strengthen automation reliability, and build a more scalable approach to quality engineering.

Who is this talk for?

This talk is for QA engineers, test automation engineers, SDETs, and developers who want to build more reliable and maintainable automation using Playwright, GitHub Copilot, MCP, and AI-first agentic workflows.

It is also for QA managers, tech leads, and automation leads who want to understand how Playwright, MCP, and GitHub Copilot can support automation strategy, productivity, and scalable quality engineering.

What will attendees take away?

• How Playwright, GitHub Copilot, and MCP can work together in an AI-first test automation workflow.

• Where AI can support the automation lifecycle, from planning and exploration to implementation, debugging, and review.

• Practical lessons for using AI effectively while keeping humans in control of quality, context, and decision-making.